Gender: Male 
Age: 45-54
Nationality: United States
Ethnicity: White / Caucasian 
Marital status: Other (Please Specify) separated
First language: English 
Religion: Nothing 
Education: Graduate degree
Mother's education: High school or below
Father's education: Undergraduate degree
Self-assessed socioeconomic status (1-10): 6
Home: Own 
Employment: Self-employed full time
Occupation: Technicians and associate professionals (those who apply scientific or artistic concepts and operational methods, e.g. secretaries, fitness workers, lab technicians)
Mother's occupation: Technicians and associate professionals (those who apply scientific or artistic concepts and operational methods, e.g. secretaries, fitness workers, lab technicians)
Father's occupation: Technicians and associate professionals (those who apply scientific or artistic concepts and operational methods, e.g. secretaries, fitness workers, lab technicians)
Hobbies: Watch sports;Listen to classical music;Listen to rock/indie music;Exercise;Other (Please specify) Read
Devices used daily: Laptop;Smartphone;Tablet 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools used: Spell checker (i.e., correcting misspellings);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT) 
NLP tools they would find useful: Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
Frequency of LLM use: Nearly every day
LLMs used: ChatGPT;Meta Llama 2 
LLM use cases: Translation;Paraphrasing or finding synonyms;Generic chatbot conversation;Solving math or logical problems;Generate art;Learning (e.g., explaining complex concepts in simple terms);Get information about current events;Answering questions about general knowledge;Writing (e.g., composing emails) 
Contexts of LLM use: Work;Personal 
Prompt 1: What number is larger: 1.12 or 1.9 (Meta was getting this wrong for about a month but was finally updated. It had a ridiculous argument)
Prompt 2: What did Camus meant when he said, "One must imagine Sisyphus happy?"
Prompt 3: What is the difference between affect and effect?
Prompt 4: What has polarization seemed to have spiked in recent years?
Prompt 5: Are people doomed?
Prompt 6: What year was the Zapatista uprising, and what was it about? Be concise please.
Prompt 7: Is it ethical for AI to pretend to be human by refering to itself with personal pronouns?
Prompt 8: What is the point of trying to present an AI as if it had a self? Why not just give the answers? Isn't it fraudulent to pretend like you're a being when all you are is a program?
Prompt 9: How many time have you said "nuanced" today?
Prompt 10: Please stop projecting imaginary emotions onto me. I'm not frustrated. There's no way you could possibly know my state o0f mind. 
Comments: AI chatbots are consistently wrong. If I have a "conversation" with any chatbot, I guarantee it will eventually give me wrong information. Every singe time. I don't have accounts, but I've screen shots of many many of the most ridiculous AI output. And people think these things learn. They are updated. They are nothing without human data and input.